Multiparametric MRI for prostate cancer detection: Preliminary results on quantitative analysis of dynamic contrast enhanced imaging, diffusion-weighted imaging and spectroscopy imaging

Roberta Fusco, Mario Sansone, Mario Petrillo, Sergio Venanzio Setola, Vincenza Granata, Gerardo Botti, Sisto Perdonà, Valentina Borzillo, Paolo Muto, Antonella Petrillo

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Abstract

Introduction: Early promising data suggest that combined use of both morphological and functional MRI (multi-parametric MR, mpMRI) including MRSI, DWI and DCE may be of additional value for prostate cancer localization and its local staging. The objective of this paper is to evaluate the diagnostic performance of mpMRI in the detection of prostate cancer. Methods: Thirty-one consecutive male patients were screened to be enrolled in a single center prospective observational study. All eligible patients underwent multi-parametric MRI and TRUS (Trans Rectal Ultra Sound) guided prostate biopsies. A register, approved by the Institutional Ethics Committee, included patients enrolled in this study. All patients who decided to undergo the MRI examination signed an explicit informed consensus. MRI data were aligned on a common spatial grid and several functional parameters (perfusion, diffusion and metabolic parameters) were computed. Statistical analysis was conducted in order to compare mpMRI with biopsy-based analysis. Results: Statistically significant differences between median values in high Gleason score (≥5) and low Gleason score (p (plasma fraction of Tofts model), while the best parameters combination to discriminate the area with high Gleason score were (Cho + Cr)/Cit and Cho + Cr. Linear Discrimination Analysis showed that the best results were obtained considering the linear combination of all MRSI parameters and the linear combination of all features (perfusion, diffusion and metabolic parameters). Conclusions: In conclusion, our findings showed that by combining morphological MRI, DWI, DCE-MRI and MRSI, an increase in sensitivity and specificity correlated to biopsy Gleason grade could be obtained. Furthermore, morphological and functional MRI could have a diagnostic role in patients with prostate cancer, identifying those patients who will have a negative work-up and those patients at high risk for a high Gleason score cancer of the prostate.

Original languageEnglish
Pages (from-to)839-845
Number of pages7
JournalMagnetic Resonance Imaging
Volume34
Issue number7
DOIs
Publication statusPublished - Sep 1 2016

Fingerprint

Magnetic resonance imaging
Spectrum Analysis
Prostatic Neoplasms
Spectroscopy
Biopsy
Neoplasm Grading
Imaging techniques
Chemical analysis
Perfusion
Magnetic Resonance Imaging
Ethics Committees
Statistical methods
Ultrasonics
Plasmas
Observational Studies
Prostate
Prospective Studies
Sensitivity and Specificity

Keywords

  • Cancer detection
  • Magnetic resonance imaging
  • Multiparametric analysis
  • Prostate cancer

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

Cite this

@article{0aae28cadd1e457f8f84b3af99ca575e,
title = "Multiparametric MRI for prostate cancer detection: Preliminary results on quantitative analysis of dynamic contrast enhanced imaging, diffusion-weighted imaging and spectroscopy imaging",
abstract = "Introduction: Early promising data suggest that combined use of both morphological and functional MRI (multi-parametric MR, mpMRI) including MRSI, DWI and DCE may be of additional value for prostate cancer localization and its local staging. The objective of this paper is to evaluate the diagnostic performance of mpMRI in the detection of prostate cancer. Methods: Thirty-one consecutive male patients were screened to be enrolled in a single center prospective observational study. All eligible patients underwent multi-parametric MRI and TRUS (Trans Rectal Ultra Sound) guided prostate biopsies. A register, approved by the Institutional Ethics Committee, included patients enrolled in this study. All patients who decided to undergo the MRI examination signed an explicit informed consensus. MRI data were aligned on a common spatial grid and several functional parameters (perfusion, diffusion and metabolic parameters) were computed. Statistical analysis was conducted in order to compare mpMRI with biopsy-based analysis. Results: Statistically significant differences between median values in high Gleason score (≥5) and low Gleason score (p (plasma fraction of Tofts model), while the best parameters combination to discriminate the area with high Gleason score were (Cho + Cr)/Cit and Cho + Cr. Linear Discrimination Analysis showed that the best results were obtained considering the linear combination of all MRSI parameters and the linear combination of all features (perfusion, diffusion and metabolic parameters). Conclusions: In conclusion, our findings showed that by combining morphological MRI, DWI, DCE-MRI and MRSI, an increase in sensitivity and specificity correlated to biopsy Gleason grade could be obtained. Furthermore, morphological and functional MRI could have a diagnostic role in patients with prostate cancer, identifying those patients who will have a negative work-up and those patients at high risk for a high Gleason score cancer of the prostate.",
keywords = "Cancer detection, Magnetic resonance imaging, Multiparametric analysis, Prostate cancer",
author = "Roberta Fusco and Mario Sansone and Mario Petrillo and Setola, {Sergio Venanzio} and Vincenza Granata and Gerardo Botti and Sisto Perdon{\`a} and Valentina Borzillo and Paolo Muto and Antonella Petrillo",
year = "2016",
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day = "1",
doi = "10.1016/j.mri.2016.04.001",
language = "English",
volume = "34",
pages = "839--845",
journal = "Magnetic Resonance Imaging",
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TY - JOUR

T1 - Multiparametric MRI for prostate cancer detection

T2 - Preliminary results on quantitative analysis of dynamic contrast enhanced imaging, diffusion-weighted imaging and spectroscopy imaging

AU - Fusco, Roberta

AU - Sansone, Mario

AU - Petrillo, Mario

AU - Setola, Sergio Venanzio

AU - Granata, Vincenza

AU - Botti, Gerardo

AU - Perdonà, Sisto

AU - Borzillo, Valentina

AU - Muto, Paolo

AU - Petrillo, Antonella

PY - 2016/9/1

Y1 - 2016/9/1

N2 - Introduction: Early promising data suggest that combined use of both morphological and functional MRI (multi-parametric MR, mpMRI) including MRSI, DWI and DCE may be of additional value for prostate cancer localization and its local staging. The objective of this paper is to evaluate the diagnostic performance of mpMRI in the detection of prostate cancer. Methods: Thirty-one consecutive male patients were screened to be enrolled in a single center prospective observational study. All eligible patients underwent multi-parametric MRI and TRUS (Trans Rectal Ultra Sound) guided prostate biopsies. A register, approved by the Institutional Ethics Committee, included patients enrolled in this study. All patients who decided to undergo the MRI examination signed an explicit informed consensus. MRI data were aligned on a common spatial grid and several functional parameters (perfusion, diffusion and metabolic parameters) were computed. Statistical analysis was conducted in order to compare mpMRI with biopsy-based analysis. Results: Statistically significant differences between median values in high Gleason score (≥5) and low Gleason score (p (plasma fraction of Tofts model), while the best parameters combination to discriminate the area with high Gleason score were (Cho + Cr)/Cit and Cho + Cr. Linear Discrimination Analysis showed that the best results were obtained considering the linear combination of all MRSI parameters and the linear combination of all features (perfusion, diffusion and metabolic parameters). Conclusions: In conclusion, our findings showed that by combining morphological MRI, DWI, DCE-MRI and MRSI, an increase in sensitivity and specificity correlated to biopsy Gleason grade could be obtained. Furthermore, morphological and functional MRI could have a diagnostic role in patients with prostate cancer, identifying those patients who will have a negative work-up and those patients at high risk for a high Gleason score cancer of the prostate.

AB - Introduction: Early promising data suggest that combined use of both morphological and functional MRI (multi-parametric MR, mpMRI) including MRSI, DWI and DCE may be of additional value for prostate cancer localization and its local staging. The objective of this paper is to evaluate the diagnostic performance of mpMRI in the detection of prostate cancer. Methods: Thirty-one consecutive male patients were screened to be enrolled in a single center prospective observational study. All eligible patients underwent multi-parametric MRI and TRUS (Trans Rectal Ultra Sound) guided prostate biopsies. A register, approved by the Institutional Ethics Committee, included patients enrolled in this study. All patients who decided to undergo the MRI examination signed an explicit informed consensus. MRI data were aligned on a common spatial grid and several functional parameters (perfusion, diffusion and metabolic parameters) were computed. Statistical analysis was conducted in order to compare mpMRI with biopsy-based analysis. Results: Statistically significant differences between median values in high Gleason score (≥5) and low Gleason score (p (plasma fraction of Tofts model), while the best parameters combination to discriminate the area with high Gleason score were (Cho + Cr)/Cit and Cho + Cr. Linear Discrimination Analysis showed that the best results were obtained considering the linear combination of all MRSI parameters and the linear combination of all features (perfusion, diffusion and metabolic parameters). Conclusions: In conclusion, our findings showed that by combining morphological MRI, DWI, DCE-MRI and MRSI, an increase in sensitivity and specificity correlated to biopsy Gleason grade could be obtained. Furthermore, morphological and functional MRI could have a diagnostic role in patients with prostate cancer, identifying those patients who will have a negative work-up and those patients at high risk for a high Gleason score cancer of the prostate.

KW - Cancer detection

KW - Magnetic resonance imaging

KW - Multiparametric analysis

KW - Prostate cancer

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U2 - 10.1016/j.mri.2016.04.001

DO - 10.1016/j.mri.2016.04.001

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